Max A. Schlager

3.6k total citations
18 papers, 2.5k citations indexed

About

Max A. Schlager is a scholar working on Cell Biology, Molecular Biology and Physiology. According to data from OpenAlex, Max A. Schlager has authored 18 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cell Biology, 12 papers in Molecular Biology and 2 papers in Physiology. Recurrent topics in Max A. Schlager's work include Microtubule and mitosis dynamics (13 papers), Cellular transport and secretion (10 papers) and Protist diversity and phylogeny (3 papers). Max A. Schlager is often cited by papers focused on Microtubule and mitosis dynamics (13 papers), Cellular transport and secretion (10 papers) and Protist diversity and phylogeny (3 papers). Max A. Schlager collaborates with scholars based in Netherlands, Germany and United Kingdom. Max A. Schlager's co-authors include Casper C. Hoogenraad, Andrew P. Carter, Phebe S. Wulf, Lukas C. Kapitein, L. Urnavicius, Nanda Keijzer, Simon L. Bullock, Ha Thi Hoang, Anna Akhmanova and Marijn Kuijpers and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Max A. Schlager

18 papers receiving 2.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Max A. Schlager Netherlands 17 1.6k 1.5k 615 173 134 18 2.5k
Nanda Keijzer Netherlands 16 1.2k 0.8× 1.1k 0.8× 357 0.6× 162 0.9× 132 1.0× 26 1.9k
Phebe S. Wulf Netherlands 20 1.6k 1.0× 1.8k 1.2× 778 1.3× 187 1.1× 234 1.7× 24 2.8k
Reiko Takemura Japan 13 1.4k 0.8× 1.2k 0.8× 478 0.8× 139 0.8× 208 1.6× 17 2.1k
Susana Montenegro Gouveia Netherlands 15 1.6k 1.0× 1.8k 1.2× 510 0.8× 229 1.3× 152 1.1× 15 2.6k
Leif Dehmelt Germany 25 1.4k 0.9× 1.1k 0.7× 633 1.0× 180 1.0× 298 2.2× 46 2.8k
Emanuela Frittoli Italy 28 1.5k 0.9× 1.4k 1.0× 495 0.8× 124 0.7× 281 2.1× 45 3.0k
Cecı́lia Conde Argentina 15 1.2k 0.7× 776 0.5× 594 1.0× 150 0.9× 179 1.3× 28 1.9k
Shohei Maékawa Japan 25 1.4k 0.9× 1.1k 0.8× 384 0.6× 112 0.6× 183 1.4× 89 2.2k
Christophe Bosc France 27 1.4k 0.8× 1.2k 0.8× 435 0.7× 302 1.7× 170 1.3× 44 2.1k
Martin Bähler Germany 37 3.0k 1.8× 1.8k 1.3× 1.1k 1.7× 250 1.4× 263 2.0× 78 4.3k

Countries citing papers authored by Max A. Schlager

Since Specialization
Citations

This map shows the geographic impact of Max A. Schlager's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Max A. Schlager with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max A. Schlager more than expected).

Fields of papers citing papers by Max A. Schlager

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Max A. Schlager. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Max A. Schlager. The network helps show where Max A. Schlager may publish in the future.

Co-authorship network of co-authors of Max A. Schlager

This figure shows the co-authorship network connecting the top 25 collaborators of Max A. Schlager. A scholar is included among the top collaborators of Max A. Schlager based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Max A. Schlager. Max A. Schlager is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Pfaff, Aron, et al.. (2020). An Empirical Approach for the Development of Process Parameters for Laser Powder Bed Fusion. Materials. 13(23). 5400–5400. 18 indexed citations
2.
Hoang, Ha Thi, Max A. Schlager, Andrew P. Carter, & Simon L. Bullock. (2017). DYNC1H1 mutations associated with neurological diseases compromise processivity of dynein–dynactin–cargo adaptor complexes. Proceedings of the National Academy of Sciences. 114(9). E1597–E1606. 86 indexed citations
3.
Belyy, Vladislav, Max A. Schlager, Helen E. Foster, et al.. (2016). The mammalian dynein–dynactin complex is a strong opponent to kinesin in a tug-of-war competition. Nature Cell Biology. 18(9). 1018–1024. 126 indexed citations
4.
Urnavicius, L., Kai Zhang, C. Motz, et al.. (2015). The structure of the dynactin complex and its interaction with dynein. Science. 347(6229). 1441–1446. 296 indexed citations
5.
Lipka, Joanna, Inmaculada Segura, Susanne Hoyer, et al.. (2014). The GRIP1/14-3-3 Pathway Coordinates Cargo Trafficking and Dendrite Development. Developmental Cell. 28(4). 381–393. 27 indexed citations
6.
Schlager, Max A., Ha Thi Hoang, L. Urnavicius, Simon L. Bullock, & Andrew P. Carter. (2014). In vitro reconstitution of a highly processive recombinant human dynein complex. The EMBO Journal. 33(17). 1855–1868. 250 indexed citations
7.
Jaarsma, Dick, Robert van den Berg, Phebe S. Wulf, et al.. (2014). A role for Bicaudal-D2 in radial cerebellar granule cell migration. Nature Communications. 5(1). 3411–3411. 37 indexed citations
8.
Schlager, Max A., Andrea Serra-Marques, Ilya Grigoriev, et al.. (2014). Bicaudal D Family Adaptor Proteins Control the Velocity of Dynein-Based Movements. Cell Reports. 8(5). 1248–1256. 85 indexed citations
9.
Jaarsma, Dick, Robert van den Berg, Phebe S. Wulf, et al.. (2014). Correction: Corrigendum: A role for Bicaudal-D2 in radial cerebellar granule cell migration. Nature Communications. 5(1). 1 indexed citations
10.
Mikhaylova, Marina, Joanna Lipka, Max A. Schlager, et al.. (2013). TRAK/Milton Motor-Adaptor Proteins Steer Mitochondrial Trafficking to Axons and Dendrites. Neuron. 77(3). 485–502. 323 indexed citations
11.
Razafsky, David, Max A. Schlager, Andrea Serra-Marques, et al.. (2012). BICD2, dynactin, and LIS1 cooperate in regulating dynein recruitment to cellular structures. Molecular Biology of the Cell. 23(21). 4226–4241. 181 indexed citations
12.
Schlager, Max A., Lukas C. Kapitein, Ilya Grigoriev, et al.. (2010). Pericentrosomal targeting of Rab6 secretory vesicles by Bicaudal-D-related protein 1 (BICDR-1) regulates neuritogenesis. The EMBO Journal. 29(10). 1637–1651. 124 indexed citations
13.
Kapitein, Lukas C., Max A. Schlager, Marijn Kuijpers, et al.. (2010). Mixed Microtubules Steer Dynein-Driven Cargo Transport into Dendrites. Current Biology. 20(4). 290–299. 238 indexed citations
14.
Kapitein, Lukas C., Max A. Schlager, Wouter A. van der Zwan, et al.. (2010). Probing Intracellular Motor Protein Activity Using an Inducible Cargo Trafficking Assay. Biophysical Journal. 99(7). 2143–2152. 127 indexed citations
15.
Schlager, Max A. & Casper C. Hoogenraad. (2009). Basic mechanisms for recognition and transport of synaptic cargos. Molecular Brain. 2(1). 25–25. 71 indexed citations
16.
Wanschers, Bas F.J., Max A. Schlager, Anna Akhmanova, et al.. (2007). A role for the Rab6B Bicaudal–D1 interaction in retrograde transport in neuronal cells. Experimental Cell Research. 313(16). 3408–3420. 57 indexed citations
17.
Cheng, Dongmei, Casper C. Hoogenraad, A. John Rush, et al.. (2006). Relative and Absolute Quantification of Postsynaptic Density Proteome Isolated from Rat Forebrain and Cerebellum. Molecular & Cellular Proteomics. 5(6). 1158–1170. 381 indexed citations
18.
Schlager, Wolfgang & Max A. Schlager. (1973). Clastic sediments associated with radiolarites (Tauglboden—Schichten, Upper Jurassic, Eastern Alps). Sedimentology. 20(1). 65–89. 30 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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